• DocumentCode
    3607637
  • Title

    Motivation for Protecting Selfish Vehicles´ Location Privacy in Vehicular Networks

  • Author

    Bidi Ying ; Makrakis, Dimitrios ; Zhengzhou Hou

  • Author_Institution
    Sch. of Inf. & Electron. Eng., Zhejiang Gongshang Univ., Hangzhou, China
  • Volume
    64
  • Issue
    12
  • fYear
    2015
  • Firstpage
    5631
  • Lastpage
    5641
  • Abstract
    Location privacy is an important issue in vehicular networks since knowledge of a vehicle´s location can result in leakage of sensitive information. A way to protect vehicles´ location privacy is to have them change their pseudonyms in predetermined regions known as mix zones. However, selfish vehicles may not change their pseudonyms because of limited resources (such as pseudonyms and bandwidth). This could jeopardize the location privacy of those vehicles that are in need of changing their pseudonyms. To encourage vehicles to cooperate in changing their pseudonyms, we propose a method called Motivation for Protecting Selfish Vehicles´ Location Privacy (MPSVLP). In MPSVLP, vehicles can form a mix zone dynamically when their pseudonyms are close to expiration and can also earn reputation “credit” by implementing a pseudonym change. The simulations show that MPSVLP motivates more selfish vehicles to cooperate with each other while maintaining a high level of location privacy. In addition, MPSVLP can reduce communication overhead in comparison with the existing methods.
  • Keywords
    data protection; mobility management (mobile radio); vehicular ad hoc networks; MPSVLP; communication overhead reduction; mix zone; motivation for protecting selfish vehicle location privacy; pseudonym change; sensitive information leakage; vehicular network; Algorithm design and analysis; Connected vehicles; Energy consumption; Performance analysis; Privacy; Location privacy; Vehicular network; location privacy; mix zone; mix-zone; vehicular network;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2015.2487262
  • Filename
    7289480